BUSINESS INFORM JOURNAL.

УКР

ENG

Search:

REGISTRATION CERTIFICATE

KV #19905-9705 PR dated 02.04.2013.

FOUNDERS

RESEARCH CENTRE FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS of Ukraine (KHARKIV, UKRAINE)

ROR

EDRPOU 05481984

According to the decision No. 802 of the National Council of Television and Radio Broadcasting of Ukraine dated 14.03.2024, is registered as a subject in the field of print media.
ID R30-03156

PUBLISHER

Liburkina L. M.

CATALOG

The Methodological Support for the Mechanism of Developing Managerial and Organizational Potential for the Competitiveness Resilience of Energy Sector Enterprises
Negliad A. V., Babichev A. V.

Negliad, Andrii V., and Babichev, Anatoliy V. (2026) “The Methodological Support for the Mechanism of Developing Managerial and Organizational Potential for the Competitiveness Resilience of Energy Sector Enterprises.” Business Inform 2:327–335.
https://doi.org/10.32983/2222-4459-2026-2-327-335

Section: Management and Marketing

Article is written in Ukrainian
Downloads/views: 2

Download article (pdf) -

UDC 330.43:658.012:620.9

Abstract:
The article examines the pressing issue of ensuring the long-term competitiveness resilience of energy sector enterprises in Ukraine amid unprecedented macroeconomic uncertainty, structural transformations of the energy market, and the destabilizing effects of the external environment. It is proved that traditional approaches to crisis management are insufficient, and the specifics of the energy industry (high capital intensity, rigid dispatch management hierarchy, dependence on the State regulation) necessitate the development of an adapted, mathematically substantiated set of tools. The aim of the article is to develop and scientifically substantiate comprehensive methodological support for the mechanism of developing the managerial and organizational potential of energy companies’ competitiveness resilience to enable the transition from intuitive (reactive) to preventive management. The methodological basis of the study is the systematic integration of quantitative and qualitative methods of economic-mathematical analysis. An original four-stage algorithm is proposed, which sequentially includes: comprehensive diagnostics of the companies’ condition using multivariate statistical methods (cluster analysis); quantitative assessment of the impact of managerial decisions on performance through variance and panel data regression analysis; identification of dominant factors and threats based on the fuzzy analytical hierarchy process (FAHP); and final simulation scenario (cognitive) modeling. The main scientific result is the developed cognitive model for the development of an energy enterprise, which allows managerial decisions to be substantiated at both tactical and strategic levels. By applying control (single) impulses to key factor-indicators (investment volume, level of decentralization, operational costs), three basic scenarios were generated: optimistic, realistic (inertial), and pessimistic. The results of impulse modeling mathematically demonstrate that in conditions of a systemic crisis, inertial development cannot ensure the preservation of competitive positions. The most efficient approach was identified as implementing a proactive (optimistic) scenario, which focuses on attracting long-term investments in the development of distributed generation, adopting Smart Grid technologies, and fully digitalizing operational processes. It was concluded that the proposed comprehensive methodological instrumentarium provides a reliable analytical foundation for energy company management, enabling timely threat identification, stabilization of the financial state, and maximization of competitiveness. The prospects for further research in this direction include the automation of the developed algorithms through the creation of specialized decision support systems (DSS) and the integration of machine learning technologies for processing large datasets.

Keywords: competitiveness, energy sector, managerial and organizational potential, scenario modeling, simulation modeling, management mechanism, cognitive map, methodological support.

Fig.: 1. Tabl.: 1. Bibl.: 13.

Negliad Andrii V. – Postgraduate Student, Department of Management and Administration, Educational and Research Institute «Karazin Business School» of V. N. Karazin Kharkiv National University (1 Myronosytska Str., Kharkiv, 61002, Ukraine)
Email: [email protected]
Babichev Anatoliy V. – Candidate of Sciences (Public Administration), Associate Professor, Pro-rector, V. N. Karazin Kharkiv National University (4 Svobody Square, Kharkіv, 61022, Ukraine)
Email: [email protected]

List of references in article

Abu Taha R. & Daim T. (2013). Multi-Criteria Applications in Renewable Energy Analysis, a Literature Review. Research and Technology Management in the Electricity Industry (pp. 17–30). London: Springer. https://doi.org/10.1007/978-1-4471-5097-8_2
Anaya Longaric P., De Sanctis A. & Grynberg C. (2024). Energy shocks, corporate investment and potential implications for future EU competitiveness. European Central Bank. https://www.ecb.europa.eu/press/economic-bulletin/articles/2025/html/ecb.ebart202408_01~1d16a30700.en.html
Chwilkowska-Kubala A., Cyfert S. & Malewska K. (2023). What drives organizational agility in energy sector companies? The role of strategic CSR initiatives and the dimensions of proactive CSR. Sustainable Futures, 6, Art. 100133. https://doi.org/10.1016/j.sftr.2023.100133
European Investment Bank. (2024). Energy Overview 2024. European Investment Bank. https://www.eib.org/attachments/lucalli/20240053_energy_overview_2024_en.pdf
Folorunso E. (2025). Building the Analytics Hierarchy Process (AHP) Framework. The Art of Decision Making – Applying AHP in Practice. London: IntechOpen. https://doi.org/10.5772/intechopen.1006933
International Energy Agency. (2025). Energy and AI. Executive summary. Paris: International Energy Agency. https://www.iea.org/reports/energy-and-ai
Kudri S.O. (2024). Vidnovliuvani dzherela enerhii: monohrafiia [Renewable Energy Sources: monograph]. Kyiv: Instytut vidnovliuvanoi enerhetyky NANU.
Ministerstvo enerhetyky Ukrainy (2024). Zvit pro stratehichnu ekolohichnu otsinku proiektu planu zakhodiv z realizatsii Enerhetychnoi stratehii Ukrainy na period do 2050 roku [Report on the Strategic Environmental Assessment of the draft action plan for the implementation of the Energy Strategy of Ukraine for the period until 2050]. Kyiv: Ministerstvo enerhetyky Ukrainy.
Perehuda Ye. V., Stoiko O. M. & Derevinskyi V. F. (2018). Polityka enerhoefektyvnosti ta enerhozberezhennia yak chynnyk natsionalnoi konsolidatsii: problemy formuvannia ta realizatsii: monohrafiia [Energy Efficiency and Energy Saving Policy as a Factor of National Consolidation: Problems of Formation and Implementation: monograph]. Kyiv ; Ternopil: Beskydy.
Rivero-Iglesias J. M., Puente J., Fernandez I. & Leon O. (2023). Integrated model for the assessment of power generation alternatives through analytic hierarchy process and a fuzzy inference system. Case study of Spain. Renewable Energy, 211, 563–581. https://doi.org/10.1016/j.renene.2023.04.101
Strielkowski W., Chygryn O., Drozd S. & Koibichuk V. (2024). Sustainable transformation of energy sector: Cluster analysis for the sustainable development strategies of selected European countries. Heliyon, 10 (19), Art. e38930. https://doi.org/10.1016/j.heliyon.2024.e38930
Yamini E., Khazaei H. & Soltani M. (2025). Emerging technologies in renewable energy: Risk analysis and major investment strategies. Sustainable Futures, 9, Art. 100736. https://doi.org/10.1016/j.sftr.2025.100736
Zhao H., Song S., Lv X. & Bao Y. (2025). A multi-dimensional evaluation model for power enterprise procurement performance based on fuzzy analytic hierarchy process and TOPSIS integration. Scientific Reports, 15, Art. 41290. https://doi.org/10.1038/s41598-025-25042-z

FOR AUTHORS

License Contract

Conditions of Publication

Article Requirements

Regulations on Peer-Reviewing

Current Issue

Frequently asked questions

INFORMATION